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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 10-RES-JB
    11. 1179
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    Explanations

    requests for comments or responses from various entities

    oai_token-act-pair · gpt-3.5-turbo

    instances of requests for comments or responses from various entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Sutherland
    -0.56
     sacrific
    -0.55
     idol
    -0.54
    ãĥį
    -0.54
    esses
    -0.53
     idols
    -0.52
     artif
    -0.52
    iors
    -0.51
    animate
    -0.51
     glide
    -0.51
    POSITIVE LOGITS
     seeking
    0.87
    ogh
    0.76
     requesting
    0.73
    fax
    0.69
     HuffPost
    0.66
     emailed
    0.66
    osta
    0.66
     Jazeera
    0.65
    dozen
    0.65
    archive
    0.64
    Activations Density 0.040%

    No Known Activations